Multi-view clustering with graph regularized optimal transport. - Jie Yao; Renjie Lin; Zhenghong Lin; Shiping Wang (Inf. Sci., 2022)

Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. - Zhenghong Lin; Yanchao Tan; Yunfei Zhan; Weiming Liu 005; Fan Wang 020; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ACM Multimedia, 2023)

Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning. - Zhihao Wu 003; Xincan Lin; Zhenghong Lin; Zhaoliang Chen; Yang Bai; Shiping Wang (IEEE Trans. Multim., 2023)

CCR-Net: Consistent contrastive representation network for multi-view clustering. - Renjie Lin; Yongkun Lin; Zhenghong Lin; Shide Du; Shiping Wang (Inf. Sci., 2023)

Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation. - Yanchao Tan; Zhenghong Lin; Sujie Pan; Siying Xu; Weiming Liu 005; Guofang Ma; Shiping Wang (ICME, 2024)

Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. - Zhenghong Lin; Wei Huang; Hengyu Zhang 001; Jiayu Xu; Weiming Liu 005; Xinting Liao; Fan Wang 020; Shiping Wang; Yanchao Tan (IJCAI, 2024)

Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization. - Zhenghong Lin; Qishan Yan; Weiming Liu 005; Shiping Wang; Menghan Wang; Yanchao Tan; Carl Yang 001 (IEEE Trans. Multim., 2024)

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing. - Zhaoliang Chen; Zhihao Wu 003; Zhenghong Lin; Shiping Wang; Claudia Plant; Wenzhong Guo (IEEE Trans. Neural Networks Learn. Syst., 2024)

Exploring unified cross-view hypergraph generation for multi-view semi-supervised classification. - Zhibin Shi; Zhenghong Lin; Weihong Lin; Shiping Wang (Neural Networks, 2025)